Prof Bill Buchanan B.Buchanan@napier.ac.uk
Professor
Case Study: moving towards an e-health platform to store NHS patient Information in the cloud.
Buchanan, William J; Fan, Lu; Ekonomou, Elias; Lo, Owen; Thuemmler, Christoph
Authors
Lu Fan
Elias Ekonomou
Dr Owen Lo O.Lo@napier.ac.uk
Senior Research Fellow
Christoph Thuemmler
Abstract
Case Study: Moving Towards an e-health Platform to Store NHS Patient Information in the Cloud The NHS pilot scheme to store patient information in the Cloud How can the health sector can gain greater value from its infrastructure by moving services into the cloud Harnessing maximum benefits out of cloud computing What will make cloud services compelling for every NHS organisation? Increasing operational efficiency and reducing costs in the health sector Providing NHS patients with complete control over their medical records and the power to decide who can access their data Overcoming the security and confidentiality problems
Citation
Buchanan, W. J., Fan, L., Ekonomou, E., Lo, O., & Thuemmler, C. (2012, February). Case Study: moving towards an e-health platform to store NHS patient Information in the cloud. Paper presented at Cloud Computing in the Public Sector: The Way Forward
Presentation Conference Type | Conference Paper (unpublished) |
---|---|
Conference Name | Cloud Computing in the Public Sector: The Way Forward |
Start Date | Feb 21, 2012 |
End Date | Feb 21, 2012 |
Publication Date | 2012 |
Deposit Date | Apr 12, 2012 |
Publicly Available Date | Dec 31, 2012 |
Peer Reviewed | Not Peer Reviewed |
Keywords | e-Health; security; patient information; National Health Service; cloud computing; |
Public URL | http://researchrepository.napier.ac.uk/id/eprint/5115 |
Files
2012_may_cloud_in_health[1].pdf
(7.1 Mb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by-nc/4.0/
You might also like
Cognitive Internet of Everything (CIoE): State of the Art and Approaches
(2017)
Book Chapter
An applied pattern-driven corpus to predictive analytics in mitigating SQL injection attack
(2017)
Conference Proceeding
Applied Machine Learning predictive analytics to SQL Injection Attack detection and prevention
(2017)
Conference Proceeding
Numerical Encoding to Tame SQL Injection Attacks
(2017)
Conference Proceeding
Applied web traffic analysis for numerical encoding of SQL Injection attack features
(2016)
Conference Proceeding
Downloadable Citations
About Edinburgh Napier Research Repository
Administrator e-mail: repository@napier.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search